西南交通大学学报2026，Vol.61Issue(4)：1189-1199,1296,12.DOI:10.3969/j.issn.0258-2724.20250556
基于级联延时滤波器的直线电机多磁阻传感器位置检测方法
Position Detection Method for Linear Motor Based on Cascaded Delay Filter and Multiple Magnetoresistive Sensors
摘要
Abstract
To improve the detection accuracy of the mover position of a primary segmented winding linear motor and reduce the direct current(DC)bias and harmonic interference introduced into the output signals of magnetoresistive sensors by harmonic magnetic fields,temperature variations,and other factors,a position detection method based on a frequency-adaptive cascaded delayed signal filter was investigated.First,a frequency-adaptive cascaded delayed signal filter was designed to suppress DC bias and multi-order harmonic disturbances by introducing signal delay and cascading the filters,thereby addressing the limitations of traditional methods,which required prior knowledge of harmonic orders and showed poor filtering performance for interferences near the fundamental frequency.Second,combined with type-Ⅲ phase-locked loop technology,quadrature phase locking was performed on the filtered signals to achieve synchronous extraction of the motor's magnetic pole angle and mover position information.Finally,an experimental platform for the primary segmented winding linear motor was established to verify the filtering performance and position detection accuracy of the proposed method.The research results indicate that the proposed filtering method can effectively suppress harmonic voltages near the fundamental frequency and DC bias without relying on a motor model;under complex harmonic interference conditions,compared with the detection scheme combining traditional filters and phase-locked loops,it reduces the estimation error of the mover position of the linear motor by 68.75％.关键词
磁阻传感器阵列/直线电机/级联延时滤波器/高精度位置检测Key words
magnetoresistive sensor array/linear motor/cascaded delay filter/high-accuracy position detection分类
信息技术与安全科学引用本文复制引用
凌阳熠,徐园平,周扬,姚润晖,王祺,周瑾..基于级联延时滤波器的直线电机多磁阻传感器位置检测方法[J].西南交通大学学报,2026,61(4):1189-1199,1296,12.基金项目
国家重点研发计划(2024YFB3410004) （2024YFB3410004）
